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Sparsity-aware deep learning inference runtime for CPUs
Created
2020-12-14
1,052 commits to main branch, last one 4 months ago
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Created
2020-12-11
1,826 commits to main branch, last one 4 months ago
Code for CRATE (Coding RAte reduction TransformEr).
Created
2023-05-29
79 commits to main branch, last one 3 months ago
A research library for pytorch-based neural network pruning, compression, and more.
Created
2020-02-14
12 commits to main branch, last one 2 years ago
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Created
2019-04-25
444 commits to master branch, last one 2 years ago
Repository to track the progress in model compression and acceleration
Created
2019-06-05
45 commits to master branch, last one 3 years ago
Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference" proposed by Peking University and UC Berkeley.
Created
2024-10-04
9 commits to main branch, last one about a month ago
[CVPR 2023] Efficient Map Sparsification Based on 2D and 3D Discretized Grids
Created
2023-03-13
4 commits to main branch, last one about a year ago